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Spatio-temporal patterns and dynamics of net primary productivity for Kazakhstan

Eisfelder, Christina and Klein, Igor and Huth, Juliane and Niklaus, Markus and Künzer, Claudia (2014) Spatio-temporal patterns and dynamics of net primary productivity for Kazakhstan. In: 35th International Symposium on Remote Sensing of Environment (ISRSE35), 17, pp. 1-6. IOP Publishing. 35th International Symposiumon on Remote Sensing of Environment (ISRSE35), 22.-26. April 2013, Beijing, China. DOI: 10.1088/1755-1315/17/1/012028

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Official URL: http://iopscience.iop.org/article/10.1088/1755-1315/17/1/012028/meta

Abstract

Monitoring of net primary productivity (NPP) is especially important for the fragile ecosystems in arid and semi-arid regions. Great interest exists in observing large-scale vegetation dynamics and understanding spatial and temporal patterns of NPP in these areas. In this study we present results of NPP obtained with the model BETHY/DLR for Kazakhstan for 2003-2011 and its spatial and temporal dynamics. The spatial distribution of vegetation productivity shows a gradient from North to South and clear differences between individual vegetation classes. The monthly NPP values show the highest productivity in June. Differences between rain-fed and irrigated areas indicate the dependency on water availability. Annual NPP variability was high for agricultural areas, but showed low values for natural vegetation. The analysis of different patterns in vegetation productivity provides valuable information for the identification of regions that are vulnerable to a possible climate change. This information may thus substantially support a sustainable land management.

Item URL in elib:https://elib.dlr.de/105363/
Document Type:Conference or Workshop Item (Speech)
Title:Spatio-temporal patterns and dynamics of net primary productivity for Kazakhstan
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Eisfelder, Christinachristina.eisfelder (at) dlr.deUNSPECIFIED
Klein, IgorUNSPECIFIEDUNSPECIFIED
Huth, Julianejuliane.huth (at) dlr.deUNSPECIFIED
Niklaus, MarkusUNSPECIFIEDUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:35th International Symposium on Remote Sensing of Environment (ISRSE35)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:17
DOI :10.1088/1755-1315/17/1/012028
Page Range:pp. 1-6
Publisher:IOP Publishing
Series Name:IOP Conf.Series: Earth and Environmental Science
Status:Published
Keywords:Net Primary Productivity, Kazakhstan, semi-arid regions, modelling, variability
Event Title:35th International Symposiumon on Remote Sensing of Environment (ISRSE35)
Event Location:Beijing, China
Event Type:international Conference
Event Dates:22.-26. April 2013
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Eisfelder, Christina
Deposited On:06 Sep 2016 13:47
Last Modified:31 Jul 2019 20:02

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